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Adaptive Hot Clutter
Mitigation Using
Multiple Linear Constraints

Lloyd J. Griffiths
University of Colorado at Boulder
Campus Box 425
College of Engineering and Computer Engineering
Boulder, CO 80309-0425
tel: (303) 492-3511
fax: (303) 492-2758
email: griffith@spot.colorado.edu

Abstract This presentation addresses the application of adaptive array signal processing in airborne radar systems to remove terrain-scattered interference (hot clutter). Hot clutter mitigation in airborne radar systems requires simultaneous adaptation in both space and time. However, unless special care is taken, the time adaptation can adversely affect other radar processing functions such as Doppler extraction. A methodology is described for the design of multiple linear constraints in adaptive radar array processors. The approach presented achieves effective elimination of hot clutter and can be used to either maximize the signal-to-noise ratio of the desired signal or to provide a distortionless time estimate of the signal. Examples are presented using recorded data from the Mountaintop Program to illustrate the effectiveness of the proposed approach and to show comparisons with previous approaches.



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